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This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. Index Terms: statistical learning, pattern recognition, classi cation, supervised learning, kernel methods, neural networks, VC dimension, support vector machines, boosting 1 Introduction In this paper, we focus on the problem of two-class pattern classi cation | classifying an object into one of two categories based on several observations or measurements of the object. Opening Remarks (18:18) Machine and Statistical Learning (12:12) Ch 2: Statistical Learning . ISL makes modern methods accessible to other classmates. 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